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, which will allow them to utilize cloud services without the risks of leaking private data to outsiders and even service providers. In this paper, we propose an exclusive-or (XOR) homomorphism encryption scheme to support secure keyword searching on encrypted data. First, this scheme specifies a new data protection method
more than one hundred students. In this paper, we propose a novel method to extract common topics and students' common impressions against them from students' journals. Weekly keywords are discovered from journals by scoring noun words with a measure based on TF-IDF term weighting scheme, and then we analyze co-occurrence
Excel as the unit of encryption and decryption and analyzes the file structure. Then, the model automatically identifies the types of data, verifies the legitimacy of data and filters the keywords which will not be encrypted and decrypted. At last, we invoke special algorithms to encrypt or decrypt the data. The
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.